122 related articles for article (PubMed ID: 38836183)
1. Lifelike
Im JY; Halliburton SS; Mei K; Perkins AE; Wong E; Roshkovan L; Gang GJ; Noël PB
Proc SPIE Int Soc Opt Eng; 2024 Feb; 12925():. PubMed ID: 38836183
[TBL] [Abstract][Full Text] [Related]
2. Patient-derived PixelPrint phantoms for evaluating clinical imaging performance of a deep learning CT reconstruction algorithm.
Im JY; Halliburton SS; Mei K; Perkins AE; Wong E; Roshkovan L; Sandvold OF; Liu LP; Gang GJ; Noël PB
Phys Med Biol; 2024 May; 69(11):. PubMed ID: 38604190
[No Abstract] [Full Text] [Related]
3. Patient-derived PixelPrint phantoms for evaluating clinical imaging performance of a deep learning CT reconstruction algorithm.
Im JY; Halliburton SS; Mei K; Perkins AE; Wong E; Roshkovan L; Sandvold OF; Liu LP; Gang GJ; Noël PB
medRxiv; 2023 Dec; ():. PubMed ID: 38106064
[TBL] [Abstract][Full Text] [Related]
4. Improved image quality and dose reduction in abdominal CT with deep-learning reconstruction algorithm: a phantom study.
Greffier J; Durand Q; Frandon J; Si-Mohamed S; Loisy M; de Oliveira F; Beregi JP; Dabli D
Eur Radiol; 2023 Jan; 33(1):699-710. PubMed ID: 35864348
[TBL] [Abstract][Full Text] [Related]
5. Comparison of two deep learning image reconstruction algorithms in chest CT images: A task-based image quality assessment on phantom data.
Greffier J; Frandon J; Si-Mohamed S; Dabli D; Hamard A; Belaouni A; Akessoul P; Besse F; Guiu B; Beregi JP
Diagn Interv Imaging; 2022 Jan; 103(1):21-30. PubMed ID: 34493475
[TBL] [Abstract][Full Text] [Related]
6. Radiation Dose Reduction for 80-kVp Pediatric CT Using Deep Learning-Based Reconstruction: A Clinical and Phantom Study.
Nagayama Y; Goto M; Sakabe D; Emoto T; Shigematsu S; Oda S; Tanoue S; Kidoh M; Nakaura T; Funama Y; Uchimura R; Takada S; Hayashi H; Hatemura M; Hirai T
AJR Am J Roentgenol; 2022 Aug; 219(2):315-324. PubMed ID: 35195431
[No Abstract] [Full Text] [Related]
7. Dose reduction potential of vendor-agnostic deep learning model in comparison with deep learning-based image reconstruction algorithm on CT: a phantom study.
Choi H; Chang W; Kim JH; Ahn C; Lee H; Kim HY; Cho J; Lee YJ; Kim YH
Eur Radiol; 2022 Feb; 32(2):1247-1255. PubMed ID: 34390372
[TBL] [Abstract][Full Text] [Related]
8. Clinical acceptance of deep learning reconstruction for abdominal CT imaging: objective and subjective image quality and low-contrast detectability assessment.
Bornet PA; Villani N; Gillet R; Germain E; Lombard C; Blum A; Gondim Teixeira PA
Eur Radiol; 2022 May; 32(5):3161-3172. PubMed ID: 34989850
[TBL] [Abstract][Full Text] [Related]
9. Ultra-low peak voltage CT colonography: effect of iterative reconstruction algorithms on performance of radiologists who use anthropomorphic colonic phantoms.
Shin CI; Kim SH; Lee ES; Lee DH; Hwang EJ; Chung SY; Lee JM; Han JK; Choi BI
Radiology; 2014 Dec; 273(3):759-71. PubMed ID: 25010640
[TBL] [Abstract][Full Text] [Related]
10. Spatial resolution, noise properties, and detectability index of a deep learning reconstruction algorithm for dual-energy CT of the abdomen.
Thor D; Titternes R; Poludniowski G
Med Phys; 2023 May; 50(5):2775-2786. PubMed ID: 36774193
[TBL] [Abstract][Full Text] [Related]
11. Image Quality and Lesion Detection on Deep Learning Reconstruction and Iterative Reconstruction of Submillisievert Chest and Abdominal CT.
Singh R; Digumarthy SR; Muse VV; Kambadakone AR; Blake MA; Tabari A; Hoi Y; Akino N; Angel E; Madan R; Kalra MK
AJR Am J Roentgenol; 2020 Mar; 214(3):566-573. PubMed ID: 31967501
[No Abstract] [Full Text] [Related]
12. Improving Image Quality and Reducing Radiation Dose for Pediatric CT by Using Deep Learning Reconstruction.
Brady SL; Trout AT; Somasundaram E; Anton CG; Li Y; Dillman JR
Radiology; 2021 Jan; 298(1):180-188. PubMed ID: 33201790
[TBL] [Abstract][Full Text] [Related]
13. Dose reduction in CT urography and vasculature phantom studies using model-based iterative reconstruction.
Page L; Wei W; Kundra V; Rong XJ
J Appl Clin Med Phys; 2016 Nov; 17(6):334-342. PubMed ID: 27929506
[TBL] [Abstract][Full Text] [Related]
14. A CT deep learning reconstruction algorithm: Image quality evaluation for brain protocol at decreasing dose indexes in comparison with FBP and statistical iterative reconstruction algorithms.
Tomasi S; Szilagyi KE; Barca P; Bisello F; Spagnoli L; Domenichelli S; Strigari L
Phys Med; 2024 Mar; 119():103319. PubMed ID: 38422902
[TBL] [Abstract][Full Text] [Related]
15. "Image quality evaluation of the Precise image CT deep learning reconstruction algorithm compared to Filtered Back-projection and iDose
Barca P; Domenichelli S; Golfieri R; Pierotti L; Spagnoli L; Tomasi S; Strigari L
Phys Med; 2023 Feb; 106():102517. PubMed ID: 36669326
[TBL] [Abstract][Full Text] [Related]
16. Superior objective and subjective image quality of deep learning reconstruction for low-dose abdominal CT imaging in comparison with model-based iterative reconstruction and filtered back projection.
Tamura A; Mukaida E; Ota Y; Kamata M; Abe S; Yoshioka K
Br J Radiol; 2021 Jul; 94(1123):20201357. PubMed ID: 34142867
[TBL] [Abstract][Full Text] [Related]
17. CT head-scan dosimetry in an anthropomorphic phantom and associated measurement of ACR accreditation-phantom imaging metrics under clinically representative scan conditions.
Brunner CC; Stern SH; Minniti R; Parry MI; Skopec M; Chakrabarti K
Med Phys; 2013 Aug; 40(8):081917. PubMed ID: 23927331
[TBL] [Abstract][Full Text] [Related]
18. Noise and spatial resolution properties of a commercially available deep learning-based CT reconstruction algorithm.
Solomon J; Lyu P; Marin D; Samei E
Med Phys; 2020 Sep; 47(9):3961-3971. PubMed ID: 32506661
[TBL] [Abstract][Full Text] [Related]
19. Assessment of structural similarity in CT using filtered backprojection and iterative reconstruction: a phantom study with 3D printed lung vessels.
Joemai RMS; Geleijns J
Br J Radiol; 2017 Nov; 90(1079):20160519. PubMed ID: 28830200
[TBL] [Abstract][Full Text] [Related]
20. Impact of an artificial intelligence deep-learning reconstruction algorithm for CT on image quality and potential dose reduction: A phantom study.
Greffier J; Si-Mohamed S; Frandon J; Loisy M; de Oliveira F; Beregi JP; Dabli D
Med Phys; 2022 Aug; 49(8):5052-5063. PubMed ID: 35696272
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
